A path forward to better space security: Finding new solutions to space debris, space situational awareness and space traffic management

2019 ◽  
Vol 6 (2) ◽  
pp. 92-100 ◽  
Author(s):  
Joseph N. Pelton
Keyword(s):  
Traffic Management ◽  
Space Debris ◽  
Situational Awareness ◽  
Space Situational Awareness ◽  
Space Security

scholarly journals Uncertainty Quantification for Space Situational Awareness and Traffic Management

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4361 ◽  
Author(s):  
Samuel Hilton ◽  
Federico Cairola ◽  
Alessandro Gardi ◽  
Roberto Sabatini ◽  
Nichakorn Pongsakornsathien ◽  
...  
Keyword(s):  
Traffic Management ◽  
Situational Awareness ◽  
Mathematical Framework ◽  
Space Situational Awareness ◽  
Tracking Errors ◽  
Position Uncertainty ◽  
Management Framework ◽  
Space Objects ◽  
Resident Space Objects ◽  
Machine Systems

This paper presents a sensor-orientated approach to on-orbit position uncertainty generation and quantification for both ground-based and space-based surveillance applications. A mathematical framework based on the least squares formulation is developed to exploit real-time navigation measurements and tracking observables to provide a sound methodology that supports separation assurance and collision avoidance among Resident Space Objects (RSO). In line with the envisioned Space Situational Awareness (SSA) evolutions, the method aims to represent the navigation and tracking errors in the form of an uncertainty volume that accurately depicts the size, shape, and orientation. Simulation case studies are then conducted to verify under which sensors performance the method meets Gaussian assumptions, with a greater view to the implications that uncertainty has on the cyber-physical architecture evolutions and Cognitive Human-Machine Systems required for Space Situational Awareness and the development of a comprehensive Space Traffic Management framework.

Sign in / Sign up

Export Citation Format

Share Document